path: "tensorflow.random.experimental"
tf_module {
  member {
    name: "Algorithm"
    mtype: "<class \'enum.EnumMeta\'>"
  }
  member {
    name: "Generator"
    mtype: "<type \'type\'>"
  }
  member_method {
    name: "create_rng_state"
    argspec: "args=[\'seed\', \'alg\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_global_generator"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "index_shuffle"
    argspec: "args=[\'index\', \'seed\', \'max_index\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "set_global_generator"
    argspec: "args=[\'generator\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "stateless_fold_in"
    argspec: "args=[\'seed\', \'data\', \'alg\'], varargs=None, keywords=None, defaults=[\'auto_select\'], "
  }
  member_method {
    name: "stateless_shuffle"
    argspec: "args=[\'value\', \'seed\', \'alg\', \'name\'], varargs=None, keywords=None, defaults=[\'auto_select\', \'None\'], "
  }
  member_method {
    name: "stateless_split"
    argspec: "args=[\'seed\', \'num\', \'alg\'], varargs=None, keywords=None, defaults=[\'2\', \'auto_select\'], "
  }
}
